2.met_filtering_gapfilling.R

## [1] "start dates match"

## [1] "end dates match"

## Rows: 65760 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr  (2): Month, Day
## dbl  (6): Year, AIR_TEMP_2M, RH_2M, WIND_DIRECTION, WIND_VELOCITY_CUP, PA_2M
## dttm (1): Timestamp
## time (1): Time
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

#Removing extra rows at the start of data that predate installation of the EC tower # Because this was creating issues when running script 3 and the read_csv function #{r remove extra rows at start, echo = FALSE} #DATA <- DATA %>% # filter(DATE >= "2019-11-19 00:00:00 ") #